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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 197

Showing 1-25 of 197 citing articles:

A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5362-5383
Open Access | Times Cited: 179
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, et al.
Lecture notes in computer science (2022), pp. 398-414
Closed Access | Times Cited: 154
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
James Smith, Leonid Karlinsky, Vyshnavi Gutta, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 93
Deep Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 58
Continuous transfer of neural network representational similarity for incremental learning
Songsong Tian, Weijun Li, Xin Ning, et al.
Neurocomputing (2023) Vol. 545, pp. 126300-126300
Closed Access | Times Cited: 50
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 34
Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9851-9873
Open Access | Times Cited: 33
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning
Hang Ran, Weijun Li, Lusi Li, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103664-103664
Open Access | Times Cited: 20
A Dual-Channel Collaborative Transformer for continual learning
Hao Cai, Yizhe Wang, Yong Luo, et al.
Applied Soft Computing (2025), pp. 112792-112792
Closed Access | Times Cited: 3
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
Eli Verwimp, Kuo Yang, Sarah Parisot, et al.
Neural Networks (2023) Vol. 161, pp. 659-669
Open Access | Times Cited: 30
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng, Mingyuan Ma, Kai Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19068-19079
Open Access | Times Cited: 26
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 1339-1349
Open Access | Times Cited: 24
Create Your World: Lifelong Text-to-Image Diffusion
Gan Sun, Wenqi Liang, Jiahua Dong, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 9, pp. 6454-6470
Open Access | Times Cited: 15
A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types
Zhenzhong He, Changqing Shen, Bojian Chen, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102469-102469
Closed Access | Times Cited: 12
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton Lima Aleixo, Juan G. Colonna, Marco Cristo, et al.
Journal of the Brazilian Computer Society (2024) Vol. 30, Iss. 1
Open Access | Times Cited: 11
Multi-Domain Incremental Learning for Face Presentation Attack Detection
Keyao Wang, Guosheng Zhang, Haixiao Yue, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5499-5507
Open Access | Times Cited: 9
Fine-tuned Language Models are Continual Learners
Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 30
Dense Network Expansion for Class Incremental Learning
Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 21
Multi-granularity knowledge distillation and prototype consistency regularization for class-incremental learning
Yanyan Shi, Dianxi Shi, Ziteng Qiao, et al.
Neural Networks (2023) Vol. 164, pp. 617-630
Closed Access | Times Cited: 19
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
Yabin Wang, Zhiheng Ma, Zhiwu Huang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 10209-10217
Open Access | Times Cited: 17
No One Left Behind: Real-World Federated Class-Incremental Learning
Jiahua Dong, Hongliu Li, Yang Cong, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2054-2070
Open Access | Times Cited: 17
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yuming Tang, Yi-Xing Peng, Wei‐Shi Zheng
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1706-1716
Open Access | Times Cited: 17
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou, Hailong Sun, Han-Jia Ye, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 23554-23564
Closed Access | Times Cited: 8
Online Continual Learning with Contrastive Vision Transformer
Zhen Wang, Liu Liu, Yajing Kong, et al.
Lecture notes in computer science (2022), pp. 631-650
Closed Access | Times Cited: 23
SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers
Bowen Zhang, Liyang Liu, Minh Hieu Phan, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 4, pp. 1126-1147
Open Access | Times Cited: 16
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